Thank you for noticing! I'll investigate this error and fix it accordingly ;)

I am glad you liked it! You can play around with graphs on Memgraph's Playground -> https://playground.memgraph.com/

I think we would notice because we would all start to sound alike :D kind of bland

ChatGPT or not, if this is an honest comment, thnx! :)

It was, thank you!

Hi! I'm on the journey of explaining how certain algorithms can be used to extract knowledge in a graph database and this is my third article after PageRank (https://memgraph.com/blog/pagerank-algorithm-for-graph-datab...) and Betweenness Centrality (https://memgraph.com/blog/why-are-nodes-with-a-high-betweenn...) :)

Feel free to provide any feedback or examples how you used community detection in your use case! :)

After the stars aligned and so many people read the PageRank article (https://memgraph.com/blog/pagerank-algorithm-for-graph-datab...) , I wanted to deep dive into the usage of betweenness centrality measure :)

Any feedback is welcome!

Nice accessible article - the title required 3 or 4 attempts to correctly parse though :)

thnx for the feedback :)

Thank you, I'm glad you liked it! What other graph algorithms would you like to know more about?

Yea sure please tell me more

The PageRank algorithm can be used for so much more than... well... page ranking :) hence the article :)

Yes, it would have been nice if the article looked into ways in which the algorithm could be gamed, for the proposed applications.

With the web the SEO practitioner can affect the inputs to the model and spend money to do so.

With the other examples I am not sure they can get an advantage by gaming it. In addition the pangrank models and how they weight it are more secret than Google. Google’s algorithm is secret but leaky (the search results are public)

Thank you for your use case! I'll take a look at your thesis! :)

The linked paper is not my thesis but one of the foundational works, I based my thesis on. Mine can be found here: https://git.vbrandl.net/vbrandl/masterthesis/raw/branch/mast...

Ahh! Thnx! I was sloppy... just bookmarked it for later, didn't even check!

Great stuff, thanks for sharing.

I first heard about graph databases 13 months ago... there were so many questions in my head, I'm sure my colleagues still have PTSP when my name pops-up on Slack... :D If you also have questions about one of the most used algorithms used in graph databases - PageRank - I've tried to give examples of usage in various use cases!

What have I missed? What other questions do you ask yourself about PageRank? What other graph algorithms do you have questions about?